Fagan, Des (2021) On Authorship in the Age of Generative Architectural Design : Artificial Intelligence and Architecture. In: DesAIgn 2021 Conference Proceedings :. UNSPECIFIED, ISR. (In Press)
![[thumbnail of On Authorship in the Age of Generative Architectural Design: Architecture and Artificial Intelligence]](https://eprints.lancs.ac.uk/style/images/fileicons/text.png)
Accepted_Abstract.pdf - Accepted Version
Available under License None.
Download (274kB)
Abstract
The paper presents a comprehensive analysis of all sources of information relating to authorship in the context of generative or computer automated architectural design, structured as narrative, setting the historical, contemporary and future context on ownership and intellectual property. The work features the importance of pattern identification as a central focus in the development of the architect’s skillset including medieval, gothic and modernist styles and compares these to the evolution of computing in methods of the same. The work goes on to refer to modern and developing areas of research interest in the areas of Machine Learning and Generative Adversarial Network methods for automated design. The research references a series of existing case studies to provoke debate on authenticity and intellectual property in design, including: Bernard Cache’s Table Objectile – An experiment into mass customisation by computing to incrementally iterate table design to provide multiple ‘originals’; Greg Lynn’s series of 99 teapots for Alessi, a reflection on cost and numerical rarity; Rubin and Riehl’s musical algorithm software, capable of generating 300,000 melodies each second, creating a catalogue of 68 billion 8-note melodies then copyrighted and Stanislas Chaillou’s work on generative floor plans and the impact of intellectual property on the dataset.